Quasiinversion, Regularization and the Observability Problem

Kurzhanski AB & Sivergina IF (1992). Quasiinversion, Regularization and the Observability Problem. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-92-014

[img]
Preview
Text
WP-92-014.pdf

Download (525kB) | Preview

Abstract

This paper deals with the problem of estimating the initial state of a distributed field on the basis of measurements generated by sensors. The original ill-posed problem is regularized here through an auxiliary "guaranteed estimation" problem. This yields a stable numerical procedure and also allows to establish a unified "systems-theoretic" framework for treating regularizers in general. Particularly the important point is that for finite dimensional sensor outputs a necessary condition for the existence of a stable numerical solution is the observability property which ensures existence of solution in the absence of measurement noise.

Item Type: Monograph (IIASA Working Paper)
Research Programs: System and Decision Sciences - Core (SDS)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:02
Last Modified: 23 Jul 2016 22:53
URI: http://pure.iiasa.ac.at/3684

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313